Data-Driven Regression Models for HVAC Bidding

Explore the challenges of HVAC bidding and the importance of data-driven solutions using regression models. Understand current manual processes, key cost factors, and how techniques like Linear Regression, Random Forest, and XGBoost enhance efficiency. Dive into examples of historical data usage, error testing, and real-world applications for instant quotes, showcasing the potential to improve ROI and revolutionize HVAC bidding technology.